Data Management, Analysis, and Quality.

 Technical Skills: The list highlights several technical skills, including:

• Data Analysis Tools: SQL, Power BI, SAS, and Excel
• Data Management Practices: Data quality, data collection, data preparation, and data governance
• Data Visualization: Pivot tables, charts, and dashboards

Soft Skills and Methodology:

• Problem-Solving: Questions, causes
• Project Management: Job post structure, structure of presentation
• Efficiency and Productivity: Excel shortcuts, automation, ETL and report automation

Potential Job Roles:

Based on the skills and topics listed, you might be aiming for roles such as:

• Data Analyst: Analyzing data to uncover insights and inform decision-making.
• Data Engineer: Designing, building, and maintaining data pipelines and infrastructure.
• Data Scientist: Applying statistical and machine learning techniques to extract knowledge from data.
• Business Analyst: Bridging the gap between technical teams and business stakeholders.
• Data Quality Analyst: Ensuring data accuracy, completeness, and consistency.

Further Development:

To enhance your profile and career prospects, consider:

• Deepening Technical Skills: Gain proficiency in advanced data analysis techniques, machine learning, and big data technologies.
• Developing Soft Skills: Improve communication, problem-solving, and critical thinking skills.
• Certification: Obtain certifications like Data Analyst, Data Engineer, or Data Scientist to validate your expertise.
• Practical Experience: Gain hands-on experience through internships, projects, or volunteering.

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